Flow based fair scheduling in multi-hop wireless networks

ABSTRACT

Embodiments describe flow based fair scheduling in a wireless multi-hop network. The scheduling can be rate controlled multi-hop scheduling or power controlled multi-hop scheduling. The scheduling chosen is intended to provide maxmin fairness over all flows within the wireless network.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application for Patent is a divisional of U.S. patent applicationSer. No. 11/495,002, filed Jul. 27, 2006, entitled “FLOW BASED FAIRSCHEDULING IN MULTI-HOP WIRELESS NETWORKS,” which claims the benefit ofU.S. Provisional Application Ser. No. 60/730,146, filed Oct. 24, 2005,entitled “RATE CONTROLLED FLOW BASED FAIR SCHEDULING IN MULTIHOPWIRELESS NETWORKS,” and U.S. Provisional Application Ser. No.60/730,213, filed Oct. 24, 2005, entitled “RATE CONTROLLED FLOW BASEDFAIR SCHEDULING IN MULTIHOP WIRELESS NETWORKS,” both of which areassigned to the assignee hereof and hereby expressly incorporated byreference herein.

BACKGROUND

I. Field

The following description relates generally to wireless communicationsand more particularly to scheduling communication in a multi-hopwireless network.

II. Background

Wireless communication networks are utilized to communicate informationregardless of where a user may be located (e.g., inside or outside) andregardless of whether the user is mobile or stationary. Wirelesscommunication networks enable communication between a mobile device andwith a base station or access point. The access point covers ageographic range or cell and, as a mobile device is operated, the mobiledevice may be moved in and out of these geographic cells. To achievevirtually uninterrupted communication, the mobile device is assignedresources of a cell it has entered and is de-assigned resources of thecell it has exited.

In a multi-hop topology, a communication or transmission is transferredthrough a number of hops instead of directly to a base station. A hop asreferred to herein is a particular segment or leg of a communicationpath between a sender and a recipient wherein another device acts as arelay node to facilitate conveyance of the communication. In cellularsystems, resource contention is typically on a per “cell” basis andfairness of resource sharing is handled per base station. In multi-hopwireless networks, resource contention may be over a large number ofnodes. Traditional methods (e.g., 802.11°s Carrier Sense Multiple AccessMedium Access Control (CSMA MAC)) can be utilized to ensure fairness onan immediate “hop” basis, but not necessarily over all the hops that thepacket traverses.

To overcome the aforementioned as well as other deficiencies, what isneeded is a technique for providing fair scheduling over all the hopsfrom source node to destination node (e.g., over the entire data path)in a multi-hop network.

SUMMARY

The following presents a simplified summary of one or more embodimentsin order to provide a basic understanding of some aspects of suchembodiments. This summary is not an extensive overview of the one ormore embodiments, and is intended to neither identify key or criticalelements of the embodiments nor delineate the scope of such embodiments.One of its purposes is to present some concepts of the describedembodiments in a simplified form as a prelude to a more detaileddescription to be presented later.

In accordance with one or more embodiments and corresponding disclosurethereof, various aspects are described in connection with flow basedfair scheduling. Flow based fair scheduling includes rate-controlledmulti-hop scheduling and power controlled multi-hop scheduling. Controlis provided regardless of the direction of traffic (e.g., from accessterminal to access point or from access point to access terminal).

According to some embodiments is a method for supporting datacommunications. The method includes receiving at a parent node a desiredthroughput per data sink associated with each child node. The child nodebeing communicatively coupled to the parent node. The method alsoincludes determining a time each child node should be scheduled based onthe desired throughputs and determining whether the parent node is anobstruction based on the determined scheduled times. The method alsoincludes determining a throughput for supporting each data sink if theparent node is an obstruction.

In accordance with some embodiments is an apparatus for supporting datacommunication. The apparatus can include a receiver, a scheduler and avalue adjuster. The receiver can receive a desired throughput per datasink associated with each child node that is communicatively coupled toa parent node. The scheduler can be configured to determine a time eachchild node should be scheduled based on the desired throughputs and todetermine whether the parent node is an obstruction based on thedetermined scheduled times. The value adjuster can determine athroughput for supporting each data sink if the parent node is anobstruction.

In accordance with some embodiments is a computer readable mediumcomprising instructions that upon execution cause an apparatus toreceive at a parent node a desired throughput per data sink associatedwith each child node and to determine a time each child node should bescheduled based on the desired throughputs. The child node beingcommunicatively coupled to the parent node. The instructions furthercause the apparatus to determine whether the parent node is anobstruction based on the determined scheduled times and to determine athroughput for supporting each data sink if the parent node is anobstruction.

According to some embodiments is a processor for supporting datacommunication. The processor being configured to receive at a parentnode a desired throughput per data sink associated with each child node.The processor is further configured to determine a time each child nodeshould be scheduled based on the desired throughputs. The child nodebeing communicatively coupled to the parent node. The processor isfurther configured to determine whether the parent node is anobstruction based on the determined scheduled times and to determine athroughput for supporting each data sink if the parent node is anobstruction.

In accordance with some embodiments is an apparatus for supporting datacommunication. The apparatus comprising a means for receiving at aparent node a desired throughput per data sink associated with eachchild node and a means for determining a time each child node should bescheduled based on the desired throughputs. The child node beingcommunicatively coupled to the parent node. Also included is a means fordetermining whether the parent node is an obstruction based on thedetermined scheduled times and a means for determining a throughput forsupporting each data sink if the parent node is an obstruction.

According to some embodiments is a method of supporting datacommunications. The method includes receiving at a root node a desiredthroughput per data sink associated with each parent node. The parentnode being communicatively coupled to the root node. The method alsoincludes determining a time fraction each parent node should bescheduled based on the desired throughput and determining a schedulingpolicy based on the time fraction each parent node should be scheduled.

In accordance with some embodiments is an apparatus for supporting datacommunication. The apparatus includes a receiver that receives a desiredthroughput per data sink associated with each parent node. The parentnode being communicatively coupled to a root node. Also included is ascheduler that determines a time fraction each parent node should bescheduled based on the desired throughput. The scheduler alsoestablishes a scheduling policy based on the time fraction each parentnode should be scheduled.

In accordance with some embodiments is a computer readable mediumcomprising instructions that upon execution cause an apparatus toreceive at a root node a desired throughput per data sink associatedwith each parent node. The parent node is communicatively coupled to theroot node. The instructions further cause the apparatus to determine atime fraction each parent node should be scheduled based on the desiredthroughput and to determine a scheduling policy based on the timefraction each parent node should be scheduled.

According to some embodiments is a processor for supporting datacommunication. The processor being configured to receive a desiredthroughput per data sink associated with each parent node and todetermine a time fraction each parent node should be scheduled based onthe desired throughput. The parent node being communicatively coupled toa root node. The processor further configured to determine a schedulingpolicy based on the time fraction each parent node should be scheduled.

In accordance with some embodiments is an apparatus for supporting datacommunication. The apparatus comprising a means for receiving a desiredthroughput per data sink associated with each parent node. A means fordetermining a time fraction each parent node should be scheduled basedon the desired throughput and a means for determining a schedulingpolicy based on the time fraction each parent node should be scheduledare also included in the apparatus.

In accordance with some embodiments is a method of supporting datacommunications. The method includes receiving at a parent node a desiredthroughput per data sink associated with each child node and determiningat least one of a transmit power and a receive power associated witheach child node based on the desired throughput. The child node beingcommunicatively coupled to each parent node. The method further includesdetermining whether the parent node is an obstruction based on at leastone of the determined transmit power and the receive power anddetermining a throughput for supporting each data sink if the parentnode is an obstruction.

In accordance with some embodiments is an apparatus for supporting datacommunication. The apparatus comprising a receiver, a calculator, and avalue adjuster. The receiver is configured to receive a desiredthroughput per data sink associated with each child node. The child nodebeing communicatively coupled to a parent node. The calculatordetermines at least one of a transmit power and a receive powerassociated with each child node based on the desired throughput. Thecalculator further determines whether the parent node is an obstructionbased on at least one of the determined transmit power and the receivepower. The value adjuster selects a throughput for supporting each datasink if the parent node is an obstruction.

According to some embodiments is a computer readable medium comprisinginstructions that upon execution cause an apparatus to receive at aparent node a desired throughput per data sink associated with eachchild node and to determine at least one of a transmit power and areceive power associated with each child node based on the desiredthroughput. The child node being communicatively coupled to each parentnode. The instructions further cause the apparatus to determine whetherthe parent node is an obstruction based on at least one of thedetermined transmit power and the receive power and to determine athroughput for supporting each data sink if the parent node is anobstruction.

In accordance with some embodiments is a processor for supporting datacommunication. The processor being configured to receive a desiredthroughput per data sink associated with each child node and todetermine at least one of a transmit power and a receive powerassociated with each child node based on the desired throughput. Theprocessor further configured to determine whether a parent node is anobstruction based on at least one of the determined transmit power andthe receive power and to determine a throughput for supporting each datasink if the parent node is an obstruction.

In accordance with some embodiments is an apparatus for supporting datacommunication. The apparatus comprising a means for receiving at aparent node a desired throughput per data sink associated with eachchild node and a means for determining at least one of a transmit powerand a receive power associated with each child node based on the desiredthroughput. The child node being communicatively coupled to each parentnode. The apparatus further comprising a means for determining whetherthe parent node is an obstruction based on at least one of thedetermined transmit power and the receive power and a means fordetermining a throughput for supporting each data sink if the parentnode is an obstruction.

In accordance with some embodiments is a method of supporting datacommunications. The method comprising receiving at a root node a desiredthroughput per data sink associated with each parent node. The parentnode being communicatively coupled to the root node. The method furthercomprising determining at least one of a transmit power and a receivepower associated with each parent node and determining a schedulingpolicy based on at least one of the determined transmit and receivepowers.

In accordance with some embodiments is an apparatus for supporting datacommunication. The apparatus comprising a receiver and a calculator. Thereceiver receives a desired throughput per data sink associated witheach parent node. The parent node being communicatively coupled to aroot node. The calculator determines at least one of transmit andreceive powers associated with each parent node and establishes ascheduling policy based on at least one of the determined transmit andreceive powers.

In accordance with some embodiments is a computer readable mediumcomprising instructions that upon execution cause an apparatus toreceive at a root node a desired throughput per data sink associatedwith each parent node. The parent node being communicatively coupled tothe root node. The instructions further cause the apparatus to determineat least one of a transmit power and a receive power associated witheach parent node and to determine a scheduling policy based on at leastone of the determined transmit and receive powers.

In accordance with some embodiments is a processor for supporting datacommunication. The processor being configured to receive a desiredthroughput per data sink associated with each parent node. The parentnode being communicatively coupled to a root node. The processor furtherconfigured to determine at least one of a transmit power and a receivepower associated with each parent node and determine a scheduling policybased on at least one of the determined transmit and receive powers.

According to some embodiments is an apparatus for supporting datacommunication. The apparatus comprising a means for receiving at a rootnode a desired throughput per data sink associated with each parentnode. The parent node being communicatively coupled to the root node.The apparatus further comprising a means for determining at least one ofa transmit power and a receive power associated with each parent nodeand a means for determining a scheduling policy based on at least one ofthe determined transmit and receive powers.

To the accomplishment of the foregoing and related ends, one or moreembodiments comprise the features hereinafter fully described andparticularly pointed out in the claims. The following description andthe annexed drawings set forth in detail certain illustrative aspectsand are indicative of but a few of the various ways in which theprinciples of the embodiments may be employed. Other advantages andnovel features will become apparent from the following detaileddescription when considered in conjunction with the drawings and thedisclosed embodiments are intended to include all such aspects and theirequivalents.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a representation of a multi-hop communication system inaccordance with the various embodiments disclosed herein.

FIG. 2 illustrates a representation of a forward link communication.

FIG. 3 illustrates a wireless communication system that utilizes fairscheduling techniques.

FIG. 4 illustrates another embodiment of a system that provides flowbased fair scheduling.

FIG. 5 illustrates a flow chart of a methodology for supporting datacommunications through rate controlled multi-hop scheduling.

FIG. 6 illustrates a flow chart of a methodology for determiningthroughput based on a maximum fairness concept.

FIG. 7 illustrates a flow chart of a methodology for supporting datacommunications through power controlled multi-hop scheduling.

FIG. 8 illustrates a flow chart of a methodology for finding a commonthroughput for children under an obstruction node.

FIG. 9 is system for supporting data communications in multi-hopwireless networks from the perspective of a parent node.

FIG. 10 is a system for supporting data communication in a wirelessnetwork of a plurality of nodes from the perspective of a root node.

FIG. 11 is another embodiment of a system for supporting datacommunications in multi-hop wireless networks from the perspective of aparent node.

FIG. 12 is another embodiment of a system for supporting datacommunication in a wireless network of a plurality of nodes from theperspective of a root node.

FIG. 13 illustrates a system that facilitates flow-based fair schedulingin a multi-hop wireless communication environment in accordance with oneor more of the disclosed embodiments.

FIG. 14 is an illustration of a system that facilitates coordination offlow-based fair scheduling in accordance with various embodiments

FIG. 15 illustrates a wireless communication environment that can beemployed in conjunction with the various systems and methods describedherein.

GLOSSARY OF TERMS

Forward Link=Data flow is from an access point to the access terminals.

Reverse Link=Data flow is from the access terminals to the wired accesspoint.

Leaf Node=An access point node that only has access terminalscommunicatively coupled to it on the forward link.

Parent Node=An access point node that has at least one other accesspoint node communicatively coupled to it on the forward link.

Child Node=An access point that can receive data on the forward linkfrom another access point is considered a child node of that accesspoint.

Root Node=Wired access point.

Sub-Tree for a Node=The set of all data sinks and access points to whichthe node can send data on the forward link using one or more hops.

Data Sinks and Data Sources=Access terminals are data sinks on theforward link and data sources on the reverse link. The wired accesspoint is the data source on the forward link and the data sink on thereverse link.

DETAILED DESCRIPTION

Various embodiments are now described with reference to the drawings. Inthe following description, for purposes of explanation, numerousspecific details are set forth in order to provide a thoroughunderstanding of one or more aspects. It may be evident, however, thatsuch embodiment(s) may be practiced without these specific details. Inother instances, well-known structures and devices are shown in blockdiagram form in order to facilitate describing these embodiments.

As used in this application, the terms “component,” “module,” “system,”and the like are intended to refer to a computer-related entity, eitherhardware, firmware, a combination of hardware and software, software, orsoftware in execution. For example, a component may be, but is notlimited to being, a process running on a processor, a processor, anobject, an executable, a thread of execution, a program, and/or acomputer. By way of illustration, both an application running on acomputing device and the computing device can be a component. One ormore components can reside within a process and/or thread of executionand a component may be localized on one computer and/or distributedbetween two or more computers. In addition, these components can executefrom various computer readable media having various data structuresstored thereon. The components may communicate by way of local and/orremote processes such as in accordance with a signal having one or moredata packets (e.g., data from one component interacting with anothercomponent in a local system, distributed system, and/or across a networksuch as the Internet with other systems by way of the signal).

Furthermore, various embodiments are described herein in connection witha user device. A user device can also be called a system, a subscriberunit, subscriber station, mobile station, mobile device, remote station,access point, base station, remote terminal, access terminal, handset,host, user terminal, terminal, user agent, data sink, or user equipment.A user device can be a cellular telephone, a cordless telephone, aSession Initiation Protocol (SIP) phone, a wireless local loop (WLL)station, a Personal Digital Assistant (PDA), a handheld device havingwireless connection capability, or other processing device(s) connectedto a wireless modem.

Moreover, various aspects or features described herein may beimplemented as a method, apparatus, or article of manufacture usingstandard programming and/or engineering techniques. The term “article ofmanufacture” as used herein is intended to encompass a computer programaccessible from any computer-readable device, carrier, or media. Forexample, computer readable media can include but are not limited tomagnetic storage devices (e.g., hard disk, floppy disk, magnetic strips. . . ), optical disks (e.g., compact disk (CD), digital versatile disk(DVD) . . . ), smart cards, and flash memory devices (e.g., card, stick,key drive . . . ).

Various embodiments will be presented in terms of systems that mayinclude a number of components, modules, and the like. It is to beunderstood and appreciated that the various systems may includeadditional components, modules, etc. and/or may not include all of thecomponents, modules etc. discussed in connection with the figures. Acombination of these approaches may also be used.

With reference now to the drawings, FIG. 1 is a representation of amulti-hop communication system 100 in accordance with the variousembodiments disclosed herein. The circular items 102-116 representaccess point nodes connected (e.g., wirelessly) in a tree likeconfiguration and the square items 118-134 represent access terminals orend devices. As illustrated, access point or root node 102 is the onlywired access point and may be wired to the Internet, for example. Theother access points 104-116 may be wireless. Access point 108 is theparent of access terminals 118 and 120, which are the children of accesspoint 108. Similarly, access point 110 is the parent of access terminal122 and access point 112 is the parent of access terminals 124, 126, and128. Moving up the tree, access point 104 is the parent of access points108, 110, and, 112, which are considered children of access point 104.At the top of the tree, root node 102 is the parent of access points 104and 106, which are its children. Access point 106 is the parent ofchildren access points 114 (whose children are terminals 130 and 132)and 116 (whose child is terminal 134).

It should be understood that in the tree, nodes 104 and 106 are shown asparent nodes, but they can also be in communication with accessterminals. For example, access point 104 can be in communication withaccess point 108-112 and also an access terminal (not shown) atsubstantially the same time. In such a manner, the access terminal is indirect communication with access point 104. It should also be understoodthat some or all of the access points or nodes can be access terminalsthat serve as relay nodes for other terminals. Thus, the configurationillustrated is for example purposes only and is not intended to limitthe disclosed subject matter to the illustrated configuration.

A forward link is established if the source of the communication orpacket is root node 102 and the receivers or sinks (data sinks) ofinformation are one or more access terminal 118-134. A reverse link isestablished if one or more access terminal 118-134 is the source ofinformation and the intended recipient is root node 102. Leaf nodes, asused herein, refer to those nodes 108-116 that directly transmit to thedata sinks or access terminals 118-134 and to no other access point onthe forward link.

A flow as used herein refers to a communication between root node 102and each access terminal 118-134, which can be either a forward linkcommunication or a reverse link communication. However, the forward linkand reverse link flows will be treated as two separate flows in thisdescription. The forward link will be described with reference todetermining how fractions of time should be assigned to achieve acertain throughput. The reverse link will be described with reference todetermining the fractions of time each child node should be scheduledfor the assignment of powers.

System 100 includes nine access terminals 118-134; thus, there are ninepossible flows between root node 102 and access terminals 118-134.System 100 should be configured to ensure a fair sharing of resourcesacross all nine flows. The focus is on “maxmin” throughput fairness overthe flows. Maxmin utilized herein refers to maximizing the minimumthroughput amongst all the flows.

As illustrated, a flow from a source (sender of information) to datasink (or recipient of information) can traverse three hops. For example,if the source is root node 102 and the intended recipient or sink isaccess terminal 126 (forward link), the communication traverses toaccess node 104, then to access node 112, then to sink or accessterminal 126. The flows from root node 102 to the other access terminals(data sinks) 118-134 traverse through three hops in a similar manner.For a reverse link (e.g., from access terminal(s) 118-134 to root node102), the communication traverses in an order that is reverse than thattraveled for a forward link. It should be understood that a multi-hopwireless network could have more or fewer hops than those shown anddescribed and that different access terminals may have a differentnumber of hops.

In the detailed description, various aspects and embodiments may bedescribed in the context of a Code Division Multiple Access (CDMA)system. In particular, the aspects of a CDMA system utilized areuniversal frequency reuse (e.g., all nodes use all available bandwidthsimultaneously without any static partitioning) and, for explanationpurposes, a rate-controlled forward link and power controlled reverselink similar to EVDO CDMA systems. However, rate control and powercontrol concepts for existing CDMA systems have been developed forsingle-hop scenarios only. While these inventive aspects may be wellsuited for use with the disclosed embodiments, those skilled in the artwill readily appreciate that these inventive aspects are likewiseapplicable for use in various other systems. Accordingly, any referenceto CDMA is intended only to illustrate the inventive aspects, with theunderstanding that such inventive aspects have a wide range ofapplications.

Scheduling within system 100 can be determined based on rate controlledscheduling (e.g., fraction of time scheduled) and/or power controlledscheduling (e.g., power of transmission). For exemplary purposes, a CDMAnetwork with forward link transmissions from each node will be assumedat full power with the fraction of time being the resource controlled toensure fairness. An implicit assumption on the forward link is that eachnode schedules only one child node for reception at any given time(e.g., pure Time Division Multiplex (TDM)). For exemplary purposes, thereverse link could be assumed to be power controlled allowing forsimultaneous receptions from many transmitters to one receiver. However,it should be understood that both rate controlled scheduling and powercontrolled scheduling can be utilized for either or both a forward linkcommunication and a reverse link communication.

In addition, for illustrations purposes, an Equal Grade of Service(EGoS) scheduling discipline is followed. In EGoS scheduling, the goalis to provide all flows the same throughput unless the throughput forone or more flows may be improved without reducing the throughput forany other flows. In addition to EGoS, other fairness metrics such asweighted grade of service and proportional fairness may be implemented.

The following notations will be utilized in the following discussion forsender-based scheduling or rate control. M_(i) is the number of accessterminals (data sinks) associated with AP i (Access Point i). U_(i) isthe common throughput of access terminals (data sinks) associated withAP i. R_(i) is the instantaneous transmission rate to a node (AccessPoint or Access Terminal) i from its parent. The fraction of time thatnode i is scheduled by its parent, node j, is represented as f_(i) ^(j).The respective notations are illustrated in FIG. 1.

FIG. 2 illustrates a forward link communication 200. Data flows from theroot node 202 to the access terminals 204, 206, 208, 210, 212, 214, 216,218, and 220. The access terminals 204-220 are data sinks. The wiredaccess point 202 is the data source. Nodes 222, 224, 226, 228, and 230are leaf nodes that directly communicate with the access terminals204-220. It should be understood that access terminals could alsocommunicate with node 232, however, the definition of a leaf node, asused herein, is that a leaf node only communicates with access terminalson the forward link. For example, on the forward link, node 222 issending data to the access terminals, not to another access point. Thus,node 232 is considered a parent node that is sending data to nodes 222,224, and 226 (who are child nodes of node 232).

A sub-tree for Node 232 is illustrated at 236, which is all the nodesand terminals under node 232. Assuming node 232 is a root and descendingthe tree, everything under it is considered to be a sub-tree. Likewise,the sub-tree for node 234 is shown at 238.

FIG. 3 illustrates a wireless communication system 300 that utilizesfair scheduling techniques. System 300 includes one or more accessterminals 302 that can communicate (e.g., communicatively coupled) witha root node 304 through one or more leaf nodes 306 (e.g., node thatdirectly communicates with access terminal 302) and one or more parentnodes 308. Access terminal 302 can be a data sink or a data sourcedepending on the communication flow. System 300 can be coupled in atree-like configuration similar to the configuration shown and describedwith reference to the above figures. It should be understood that whilethe illustrated communication route includes three hops, in someembodiments the communication route can include more or fewer hopsbetween access terminal(s) 302 and root node 304. For example, accessterminal 302 can communicate directly with root node 304 or accessterminal 302 can communicate with root node 304 through a single leafnode 306.

Leaf node 306 can include a transmitter/receiver 310 that can beconfigured to receive data from, and send data to, its children (e.g.,access terminal(s) 302) and/or its parent node 308). For rate-controlledmulti-hop scheduling, the information can include the number of accessterminals 302 under leaf node 306 and a throughput achievable for eachaccess terminal 302, or the product of this information. For powercontrolled multi-hop scheduling, the information can include thetransmit power needed by access terminal(s) 302 under leaf node 306.

Leaf node 306 can also include a throughput determining module 312 thatcan be configured to determine the throughput leaf node 306 is able toprovide to access terminal(s) 302 under it. For example, throughputdetermining module 312 can establish or determine a sustainable “maxmin”throughput per access terminal 302. Where M is the number of accessterminals, the “maxmin” calculation can be expressed as:

$U = \frac{1}{\sum\limits_{j = 1}^{M}\; {1/R_{j}}}$

The corresponding fraction of time that each access terminal 302 shouldbe served can be expressed as:

$f_{j} = \frac{1/R_{j}}{\sum\limits_{k = 1}^{M}\; {1/R_{k}}}$

For a power controlled multi-hop scheduling determination, leaf node 306can include a transmit power calculator 314 that can be configured tocalculate the transmit power needed by access terminal(s) under it. Asillustrated, the receiver can calculate a transmit power associated witheach child node based on a determined throughput. However, in someembodiments, the receiver determines a receive power associated witheach child node based on a determined throughput. The receiver canreiteratively (e.g., through up/down commands) cause the transmitter tochange its transmit power. Thus, achieving the desired receive power. Itshould be noted that receive power is the transmit power times thechannel gain. A carrier-to-interference (C/I) ratio is the ratio of theamplitude of a radio frequency carrier to the amplitude of interference.The C/I ratio, as measured at the receiver, is a function of the receivepower. Thus, the receiver can control its C/I ratio by controlling itsreceive power.

The information from throughput determining module 312 (for ratecontrolled scheduling) and/or transmit power calculator 314 (for powercontrolled scheduling) is communicated to the parent node 308 or, insome embodiments to root node 304. Flow based fair scheduling iscalculated and repeated for each node ascending (or propagating up) thetree until the root node 304 is reached. Further details regarding theflow based fair scheduling are provided below.

Leaf node 306 can also include a value adjuster 316 that can beconfigured to adjust various parameters based on the flow basedscheduling determined by each node ascending the tree and whether anyascending node is an obstruction within system 300. For example, thescheduling time fraction may by modified if the total throughput leafnode 306 can deliver to its child (e.g., access terminal 302) is notsustainable by its parent (e.g., parent node 308) and/or root node 304.In some embodiments, each node may desire to know the sustainablethroughput calculated for access terminals under its sub-tree so thatthe node can re-compute its time fractions.

For example, consider the forward link from root node 304 to accessterminal 302. Leaf node 306 can calculate a throughput to its accessterminals, including access terminal 302, but either parent node 308 orroot node 304 might determine that it can only support a lower value.Node 306 may wish to know this information and adjust its fractionsaccordingly, thus, root node 304 or parent node 308 can communicate thisinformation to node 306. In some embodiments, this information may bedetermined implicitly by node 306 through observing the slower rate atwhich it receives data from its parent node (e.g., node 308). Thus, inthese embodiments, root node 304 and parent node 308 do not need toconvey the throughput information to node 306.

The rate may also be modified based on other factors in order to provideflow based fair scheduling throughout system 300. Value adjuster 316 mayalso adjust the target throughput available to each access terminal 302and thereby the required transmit power from the terminal if anascending node (e.g., parent node 308, root node 304) determines thatthere is a violation of a peak power constraint and/or arise-over-thermal constraint. In this example, data flow is from accessterminal to the root node. An intermediate node (e.g., parent node 308)might need to know if there is a bottleneck upstream and slow down thethroughput it is receiving from its children accordingly. Slowing downof throughput translates into adjusting the previously computed orconverged upon transmit or receive power.

Leaf node 306 can also be associated with a look-up table 318. Accessterminal 302 can provide leaf node 306 feed back channel qualityinformation (e.g., signal-to-noise ratio). This channel qualityinformation can be mapped, by leaf node 306, to a rate included in lookup table 318. The mapped rate is the rate it can give its children. Thisrate can be stored in look-up table 318 for later retrieval purposes.

Transmitter, receiver, or both may include, but are not limited to,communication interface components such as a serial port, a universalserial bus (USB), a parallel port, and wired and/or air interfacecomponents for implementing communication protocols/standards such asWorld Interoperability for Microwave Access (WiMAX), infrared protocolssuch as Infrared Data Association (IrDA), short-range wirelessprotocols/technologies, Bluetooth® technology, ZigBee® protocol, ultrawide band (UWB) protocol, home radio frequency (HomeRF), shared wirelessaccess protocol (SWAP), wideband technology such as a wireless Ethernetcompatibility alliance (WECA), wireless fidelity alliance (Wi-FiAlliance), 802.11 network technology, public switched telephone networktechnology, public heterogeneous communications network technology suchas the Internet, private wireless communications network, land mobileradio network, code division multiple access (CDMA), wideband codedivision multiple access (WCDMA), universal mobile telecommunicationssystem (UMTS), advanced mobile phone service (AMPS), time divisionmultiple access (TDMA), frequency division multiple access (FDMA),orthogonal frequency division multiple access (OFDMA), global system formobile communications (GSM), single carrier (1×) radio transmissiontechnology (RTT), evolution data only (EV-DO) technology, general packetradio service (GPRS), enhanced data GSM environment (EDGE), high speeddownlink data packet access (HSPDA), analog and digital satellitesystems, and any other technologies/protocols that may be used in atleast one of a wireless communications network and a data communicationsnetwork.

With reference now to FIG. 4, illustrated is another embodiment of asystem 400 that provides flow based fair scheduling. System 400 issimilar to the systems described in conjunction with the precedingfigures. System 400 includes one or more access terminal 402 that cancommunicate with a root node 404. The communication between accessterminal 402 and root node 404 can be conducted by utilizing multi-hoptopology wherein the communication is transferred through various accesspoints or hops and can be in a tree configuration. As illustrated,communication within system 400 can be transferred through three hops(from access terminal to a leaf node 406, then to a parent node 408, andthen to root node 404), for a reverse link. For a forward linkcommunication, the communication would originate at the root node 404and the intended destination is the access terminal 402. System 400 canbe configured to provide flow based fair scheduling among all flows orpaths between root node 404 and one or more access terminal 402. Itshould be understood that system 400 can include more than one accessterminal 402, leaf node 406, and/or parent node 408 and, for example,can be in a configuration similar to that shown in FIG. 1. In accordancewith some embodiments, root node 404 communicates directly with accessterminal 402.

While FIG. 4 is described with reference to parent node 408, it canequally apply to root node 404. That is to say, root node 404 includessimilar elements, functionalities, or both as that described below withreference to parent node 408. In addition, in the following description,some elements are applicable to rate-control and some elements areapplicable to power-control.

Parent node 408 can include a transmitter/receiver 410 that can beconfigured to receive from its child node(s) (e.g., leaf node(s) 406)information regarding the number of access terminal(s) 402 under leafnode 406 and a throughput rate leaf node 406 is able to give the accessterminal(s) 402 under leaf node (or a product of the number of accessterminals and throughput rates). Transmitter/receiver 410 can also beconfigured to receive from its children (e.g. leaf node(s) 406 under it)a calculated transmit power needed by the access terminal(s) 402 underrespective leaf node(s) 406.

Parent node 408 includes a scheduler 412 and a calculator 414 that canindividually determine whether parent node 408 is an obstruction. Duringrate controlled multi-hop scheduling, scheduler 412 receives the numberof children and throughput information for each leaf node 406 underparent node 408. The fraction of time each leaf node 406 needs to bescheduled to meet its throughput requirements is determined and the sumof all fractions of times for all leaf nodes 406 under parent node 408is determined. If the sum of all fractions of time is less than or equalto one, parent node 408 is not an obstruction. Information regarding thenumber of leaf nodes 406 under parent node 408 and respective throughputinformation can be sent to the next ascending node in the tree (e.g.,root node 404). Thus, the information can be propagated up the treeuntil the information is received by root node 404.

If the sum of all fractions of time is more than one, parent node 408 isan obstruction and the best common throughput that it can support forits children may be determined. Such a determination can includeidentifying the child node (e.g., leaf node 406) whose data sinks (e.g.,access terminals 402) need the lowest throughput. This lowest throughputis associated with all child nodes and the fractions of time for the allchild nodes is calculated (using this lowest throughput value) todetermine if the sum is less than or equal to one. If the throughput isstill greater than one, the throughput is adjusted downward by valueadjuster 416 until the sum of the throughputs is less than or equal toone. If the sum is less than one, the child nodes whose data sinksrequested a higher throughput can be given spare capacity utilizing amaxmin fairness concept, which will be discussed in further detailbelow. Thus value adjuster 416 can selectively adjust the determinedfraction of time to schedule the at least one child node depending onthe needs of the data sinks.

Parent node 408 can be associated with a look-up table 418 that can beinformation stored in parent node 408 or accessible by parent node 408.Look-up table 418 can be configured to provide parent node 408 with avalue to give its children by mapping throughput to signal-to-noiseratio offline and can store these values in look-up table 418.

For power control scheduling, calculator 414 can be configured todetermine if the transmit power requested by each child node meets a C/Iratio. Such a determination can be based on the number of children andthe throughput to each child. According to some embodiments, thisdetermination can be performed by obtaining a threshold value andmapping that value to a desired C/I value. The C/I value can be storedin the look-up table 418, for example, and can be found by locating thethroughput. Once the C/I value is determined, the power control problemcan be solved to determine the transmit (or receive) power that willachieve the C/I value.

In accordance with some embodiments, information can be obtainedperiodically concerning available headroom to peak transmit power fromall the children. There are two constraints that should be considered,which are the maximum transmit power of the children and the ratio ofthe total received power at the parent normalized by the thermal noisepower, which is a quantity referred to as Rise-Over-Thermal (ROT). Thepeak power limit is associated with a transmit power and is from thechild nodes because they are data sources (e.g., transmitters) in thereverse link. The ROT level or constraint is determined by the receiveror parent node and is associated with a total receive power. ROT can beused to maintain the received power within an allowed dynamic range ofthe receiver and for overall stability of the power control loops in allcells. If neither the ROT threshold value nor the peak power limit isbeing reached, the parent node 408 can automatically apportion reverselink capacity according to the needs of the nodes under the parent node408.

If the ROT threshold is met and/or if the peak power limits are beingreached, parent node 408 may request, through transmitter/receiver 410,each leaf node 406 under it to lower its rate with a rate calculated ina “maxmin” fair manner. This calculation can be performed iteratively.For example, the rates can be lowered in steps or increments until afair, sustainable throughput to each child under it is achieved. Forexample, if a node has two children, one having five data sources (oraccess terminals) under it and the other having two data sources underit, parent node can request each child to lower its rate until asustainable throughput in the ratio 5:2 is achieved. If the resultingthroughput is higher than the originally requested throughput for any ofthe sinks, after assigning that capacity, the spare capacity can begiven to the other children while maintaining the proportion.

It should be noted that the process for determining scheduling foreither rate controlled scheduling or power controlled scheduling isdetermined first by leaf node(s) 406 and ascending up the tree until theroot node 404 is reached. The root node 404 it can determine or computethe sustainable throughput for data sinks (access terminals 402) in thetree.

In some embodiments, the root node 404 determines the final throughputvalue and communicates the determined value to its child nodes. Eachchild node can adjust its respective scheduling time fractions, asappropriate, based on the final threshold value received from root node404. The time scale over which the fractions are met can depend on theapplication and the rate at which the channel changes.

In accordance with some embodiments, the nodes can scale back the totalthroughput they receive from respective child nodes if such node(s) isnot able to obtain the same throughput to its parent. In someembodiments, the parent may ask one or more children to slow down therate.

The approaches shown and described herein can also be utilized forscheduling wherein each time a power control problem is solved, a subsetof children transmit to the parent. This can be accommodated byincluding those actually transmitting in solving the power controlequation (s). For example, a reasonable scheduling policy can utilizethe smallest subset that allows the parent to use the reverse linkcapacity (e.g., allowed ROT) to its fullest, subject to packet latencyconstraints, and change the scheduled subset in time.

In addition or alternatively, flow control can be utilized as amechanism for maintaining a measure of fairness. Assuming an equal gradeof service per flow fairness, a transmitter can send an equal rate onall of its children's flows. The child can use a metric, such as anaverage queue size for transmitting the data to the next hop, to signalflow control to the transmitter. The flow control may be an on/offmechanism or a signal to reduce or increase the rate. For example, aqueue size can be analyzed to compute a moving average and a firstthreshold can be utilized to slow down the rate while a second thresholdis utilized to switch off the flow. The same thresholds, or differentthresholds, can be used to switch on the flow and/or increase the rateof the flow.

In view of the exemplary systems shown and described above,methodologies that may be implemented in accordance with the disclosedsubject matter will be better appreciated with reference to the flowcharts of FIGS. 5-8. While, for purposes of simplicity of explanation,the methodologies are shown and described as a series of blocks, it isto be understood and appreciated that the claimed subject matter is notlimited by the number or order of blocks, as some blocks may occur indifferent orders and/or concurrently with other blocks from what isdepicted and described herein. Moreover, not all illustrated blocks maybe required to implement the methodologies described hereinafter. It isto be appreciated that the functionality associated with the blocks maybe implemented by software, hardware, a combination thereof or any othersuitable means such as device, system, process, and component.Additionally, it should be further appreciated that the methodologiesdisclosed hereinafter and throughout this specification are capable ofbeing stored on an article of manufacture to facilitate transporting andtransferring such methodologies to various devices. Those skilled in theart will understand and appreciate that a methodology couldalternatively be represented as a series of interrelated states orevents, such as in a state diagram.

FIG. 5 illustrates a flow chart of a methodology 500 for supporting datacommunications, such as through rate controlled multi-hop schedulingwhere each transmitter transmits at full power while controlling thetime fraction it transmits to each of its children. The focus is tomaximize the minimum flow throughput U_(i), that can be sustained withinthe tree. The instantaneous rates {R_(i)} and association of nodeswithin the tree is assumed to be fixed. Furthermore, each parent node isassumed to know the instantaneous rate to each of its children. This maybe accomplished, for example, through periodic rate feedback from thechildren. The time fraction that each access point transmits to each ofits children is controlled.

The method 500 starts at 502, where a particular node (e.g., parentnode, root node) receives the throughput specification (e.g.,requirement) of its child nodes(s), which are communicatively coupled tothe parent (or root) node. This information can be requested from thechild nodes or the child nodes can automatically send the information.The throughput specification can be a desired throughput per data sinkassociated with each child node. At 504, a fraction of time to scheduleeach child is determined for allowing each child node to have itsspecified throughput. This determination can be repeated for eachascending node up to a root node. Such determination can includereceiving from each child node j the total number of child nodes M_(j)and the common throughput U_(j). The computation for the fraction oftime each child should be scheduled to meet its specified throughput canbe expressed as:

$f_{j} = \frac{M_{j}U_{j}}{R_{j}}$

In some embodiments, the throughput may be calculated withoutconsidering constraints within the network, including the constraints ofany parent nodes. The leaf node(s) can give each of its child nodes asimilar throughput. However, in accordance with some embodiments, one ormore child node can be given a different throughput. Therefore, thethroughput can be divided equally or it can be adjusted according to aQuality of Service (QoS) metric, for example. In some embodiments, thethroughput of each child node can be calculated utilizing a maxminfairness concept, which will be discussed in more detail below.

At 506, the node determines if it is a bottleneck or obstruction withinthe tree. This can be established, for example, based on an equal gradeof service throughput of its child nodes and the fraction of time itschild nodes need to be scheduled. Such a determination can includedeciding if the total time fraction assigned to its child nodes is lessthan or equal to one or unity, which can be expressed as:

${\sum\limits_{j}\; f_{j}} \leq 1$

If it is determined that the total time fraction is less than or equalto unity (“YES”), the node for which the equation was performed is notan obstruction and the vector of the M and U values of its child node(s)are passed up to its parent node, at 508. It should be noted that inaccordance with some embodiments the products of the U values and the Mvalues are conveyed to the parent. This can be important if the leafnodes use a non-EGoS throughput assignment to the access terminals.

If the determination at 506 is that the total time fraction is more thanone (“NO”), the node is an obstruction and the best common throughputthat the node can support for all child nodes under itself in the treeis determined utilizing, for example, a maxmin fairness concept, at 510,which will be discussed in detail with reference to FIG. 6. Thedetermination whether this node is an obstruction can be repeated foreach ascending node up to a root node. After determining the throughputfor each child, the information is sent to the parent node, at 508. Ifthe node determining the throughput for each child is the root node, theinformation is not sent to a parent node, at 508.

The method 500 can be repeated with the next ascending node in the treecalculating the scheduling time of its child nodes. It is to beunderstood that this act can be recursive such that any number ofascending nodes can calculate the scheduling time of its child node(s)and determine whether it is an obstruction until a root node (wired nodeor data source) is reached. The root node can determine a schedulingpolicy based on the time fractions calculated, at 510. This schedulingpolicy can be implemented without notifying the child nodes of thepolicy or, in accordance with some embodiments, the root node can sendthe scheduling policy information to its child nodes. Moreover, it is tobe appreciated that automated and/or dynamic calculation of schedulingtime can be employed in connection with some embodiments.

Referring now to FIG. 6, illustrated is a flow chart of a methodology600 for determining throughput based on a maxmin fairness concept. If anode is determined to be an obstruction in a network, it cannot meet thespecified throughput of its child node(s) and, therefore, shoulddetermine the best throughput it can provide to its child nodes, whichcan be determined utilizing a maxmin fairness concept.

At 602, an assignment set of nodes in consideration is initialized toinclude all child nodes under the node performing the analysis (e.g.,obstruction node). This can include initializing the assignment set tobe equal to {M_(j), U_(j)}. The child node under the obstruction nodewhose data sinks specified or need the lowest throughput value isidentified, at 604. The child node can be identified where Ũ is equal tomin U_(j) and {umlaut over (C)} is equal to arg min U_(j). That is,{tilde over (C)} is the child node whose sub-tree has data sinksrequesting the lowest throughput value for all child nodes under theobstruction node. This information can be stored, recorded, maintained,etc. in a processor, memory, or storage media, the information should bein retrievable format.

At 606, the remaining data sinks under the obstruction mode aretemporarily assigned or associated with the lowest throughput value(determined at 604) and the time fractions needed is calculated based onall data sinks having the same lowest throughput value. The equation forthis can be expressed as:

$f_{j} = \frac{M_{j}\overset{\sim}{U}}{R_{j}}$

At 608, a determination is made whether the sum of the fractions of timeis less than unity or one. If it is less than one (“YES”), it indicatesthat after assigning the identified lowest throughput value Ü to alldata sinks under this obstruction node, there is spare capacityremaining that can be distributed among the other data sinks that have ahigher throughput requirement. At 610, the identified lowest throughputis assigned to the child nodes whose data sinks specified the lowestthroughput (as determined at 604) and that child node is removed fromfurther consideration. Method 600 can return to 604, where the remainingchild nodes under consideration (under the child node) are analyzed todetermine the next child node whose data sinks need a higher throughputthan the identified lowest throughput or specified the next lowestthroughput value. Method can continue in a similar manner for the otherchild nodes until the determination, at 608, is “NO”, the sum offractions is more than one.

If the determination, at 608, is that the sum of the fractions of timeis more than one (“NO”), it indicates that Ũ cannot be supported for allchild nodes under the obstruction node. The method 600 continues at 612,where a sustainable fraction value for the remaining child nodes isdetermined. This should be determined in such a manner that the sum ofthe fractions of time is not more than one or unity. The calculation cantake the following format:

$\overset{\approx}{U} = \frac{1}{\sum\limits_{j}\; {M_{j}/R_{j}}}$

The time fraction that each child is scheduled to achieve thesustainable throughput, at 612, can be expressed as f_(j)=M^(j)^({tilde over (Ũ)}/R) _(j). The vector or M and {tilde over (Ũ)} ispassed from the obstruction node to its parent. It should be noted thatthe value of M may be communicated to the parent only when there is achange in its value.

For example, a parent node has two children (child node 1 and child node2). Child node 1 has five access terminals that specified a throughputof one and child node 2 has three access terminals that specified athroughput of two. Assume that parent node cannot find fractions of timesumming to less than or equal to one based on these specified values.Parent node first assigns all eight access terminals the throughput ofone (which is the lowest throughput) and makes a determination whetherit can support this value. If it can support that value for all eightaccess terminals, the throughput value of one is assigned to the accessterminals under child node 1 (e.g., the data sinks under child node 1receive their specified throughput). Next parent node determines whatvalue (between one and two) it can give to the access terminals undernode 2. In such a manner the access terminals under node 2 do not getthe throughput value specified, but they get the best throughputavailable utilizing a maxmin fairness manner.

To further illustrate, the following discussion is provided withreference again to FIG. 2. In particular, this discussion will focus onthe sub-tree 236 for node 232. Suppose that among all the data sinks204, 206, 208, 210, 212, and 214 in this sub-tree 236, data sinks 204and 206 specified the lowest throughput. For simplicity, assume thatdata sinks under a common leaf node have the same throughput. Each ofthe nodes 222, 224, and 226 communicate their throughput needed to node232, which then computes the fraction of time it should schedule each ofthe nodes 222, 224, 226 in order to meet those requirements. If thefractions sum to a value greater than unity, node 232 determines if itcan support the lowest throughput, namely that of data sinks 204 and206, for all data sinks 204-214. If the fractions sum to less thanunity, then it assigns the requisite throughput to data sinks 204 and206, determines the fraction of time to schedule node 222 and continuesto determine if it can do better for nodes 224 and 226. To do so, itchooses the smaller of the data sink throughputs from 208, 210, 212, and214. Assuming 208 needs a smaller throughput than 210, 212, or 214, node232 attempts to assign the throughput of 208 to all remaining data sinks(208, 210, 212, and 214). If node 232 still has capacity to spare afterthis assignment, it assigns the remaining capacity to 210, 212, and 214.If there is no spare capacity, node 232 finds a common throughput fordata sinks 208, 210, 212, and 214 such that its fractions of time sum tounity.

Unequal target throughputs in the tree can be accommodated byassociating weights to the number of users (e.g., data sinks) whendetermining the sustainable throughput to children. For example, a nodehas two children with M₁ and M₂ data sinks, rates R₁ and R₂ and theparent node desires to provide w₁ times more throughput to data sinks onchild 1 compared to child 2. This can be obtained by solvingf₁=w₁M₁U/R₁, f₂=M₂U/R₂ and f₁+f₂=1. A similar approach can be utilizedfor the power control case described below.

h illustrates a flow chart of a methodology 700 for supporting datacommunications such as through power controlled multi-hop scheduling. Inthe following detailed description for illustration purposes, thereverse link will be described and it should be assumed that allchildren transmit simultaneously to their parent and are powercontrolled by the parent. There are two constraints that should beconsidered, which are the maximum transmit power of the children and theratio of the total received power at the parent normalized by thethermal noise power, which is a quantity referred to asRise-Over-Thermal (ROT). The peak power limit or constraint isassociated with the child nodes because they are data sources (e.g.,transmitters) in the reverse link. The ROT level or constraint isdetermined by or associated with the receiver or parent and isassociated with the total receive power. ROT is a well-known metric forCDMA systems and is used to help ensure that the received power iswithin the allowed dynamic range of the receiver and for overallstability of the power control loops in all cells.

Before describing the methodology 700 in detail, the setup and solutionof the basic power control problem will be presented. Consider a nodewith K children, channel gains given by {right arrow over (h)}=[h₁ h₂ .. . h_(k)], transmit powers {right arrow over (p)}=[p₁ p₂ . . . p_(k)],other cell interference power Ioc and thermal noise power N. It shouldbe understood that while thermal noise power may stay fairly constantover a long period of time, the Ioc can vary over shorter time scales.This faster variance can occur because users in other cells may beadapting their powers at substantially the same time. Even through thepower control problem and its solution are described herein in terms ofa linear system of equations, in some embodiments there are individualand independent power control loops to each transmitter. The ROTconstraint attempts to ensure system wide stability of those loops andthe loops may converge to a solution substantially similar to theanalytic one described herein. Therefore, mechanisms other than thoseshown and described can be utilized to accomplish power control.

If a mapping function from rate to target carrier-to-interference (C/I)is known at each node, given a requested rate from a child, the parentcan compute the required C/I ratio, denoted by {right arrow over(γ)}=[γ₁ γ₂ . . . γ_(k)]. In CDMA systems, for example, this may beaccomplished by the use of an “outer loop” power control wherein the C/Itarget is raised or lowered based on frame/bit error rate performance.The goal is to compute powers {right arrow over (p)}=[p₁ p₂ . . . p_(k)]so that each user achieves its target C/I while meeting the peak powerand ROT constraints. The solutions can be obtained by solving thefollowing equations:

${H\; \overset{\rightarrow}{p}} = {\left( {{Ioc} + N} \right)\overset{\rightarrow}{\gamma}\mspace{14mu} {where}}$$H = {\begin{bmatrix}h_{1} & {{- h_{2}}\gamma_{1}} & \ldots & {{- h_{k}}\gamma_{1}} \\{{- h_{1}}\gamma_{2}} & h_{2} & \ldots & {{- h_{K}}\gamma_{2}} \\\vdots & \vdots & \ddots & \vdots \\{{- h_{1}}\gamma_{K}} & {{- h_{2}}\gamma_{k}} & \ldots & h_{K}\end{bmatrix}.}$

subject to the constraints:

0 < p_(j) ≤ p_(max)∀j(Peak  Power  Constraint)$\frac{{{\overset{\rightarrow}{h}}^{T}\overset{\rightarrow}{p}} + {Ioc} + N}{N} \leq {r\left( {{ROT}\mspace{14mu} {Constraint}} \right)}$

The power control equation can be solved analytically to yield the powervalues:

$p_{j} = {{{\frac{\left( {I_{oc} + N} \right)}{h_{j}{\xi_{j}\left( {1 - {\sum\limits_{k}\; {1/\xi_{k}}}} \right)}}.{where}}\mspace{14mu} \xi_{j}} = {\frac{\gamma_{j} + 1}{\gamma_{j}}.}}$

If one or both constraints are violated by the computed power values,the requested rates by children, or equivalently, the requested C/Ivalues cannot be sustained. In this situation, the parent can determinea feasible lower set of rates to all children. The sustainable rate toeach child can be determined to attain maxmin fairness for each flow,which will be described with reference to FIG. 8.

Referring now to FIG. 7, at 702, a particular node (e.g., parent node,root node) receives a throughput specified by its child node(s), whichare communicatively coupled to the parent (or root) node. The receivedthroughput can be a desired throughput per data sink associated witheach child node. At 704, a transmit power and a receive power associatedwith each child node is determined based, in part, on the receiveddesired throughput information. The determination can includecalculating the sustainable throughput by solving the power controlproblem described earlier. It is assumed that the node has measured theother cell interference power and thermal noise power recently and thatthese quantities change relatively slowly over time. The C/I that shouldbe available for each child can be calculated using M_(j) and U_(j) fromeach child node j. The total needed rate from each child is M_(j)U_(j),which can be used in conjunction with the rate to C/I mapping functionto determine the value.

At 706, a determination is made whether this node is an obstruction.Such determination can consider whether constraints are violated. Thiscan be determined by solving the power control problem and evaluatingthe peak power constraint and the ROT constraint. If this node is not anobstruction (e.g., the constraints are not violated) (“NO”), the method700 continues, at 708, where the vector (or product) of M and U valuesof the child node(s) are passed up to the parent node(s). If theconstraints are violated (“YES”), the node is considered an obstructionand the method 700 continues, at 710, where the power for each childnode is re-determined and the sustainable throughput for each child nodeis found utilizing, for example, a maxmin fairness concept, which willbe discussed in connection with FIG. 8. The information is sent to theparent node, at 704. The parent node, which can be the root node candetermine a scheduling policy based on at least one of the determinedtransmit and receive powers. In some embodiments, the root nodecommunicates scheduling policy information to its child nodes.

FIG. 8 illustrates a flow chart of a methodology 800 for finding acommon throughput for child node(s) under an obstruction node. Themethod 800 begins, at 802, by initializing an assignment set of nodes inconsideration to include all child nodes under the obstruction node. At804, the child node, whose data sinks need the lowest throughput amongthe remaining child nodes under consideration, is identified and itsvalue can be recorded. This can involve initializing an assignment set Sto be equal to {M_(j), U_(j)} containing the requirements of allchildren, and defining Ũ to be equal to min U_(j) and {tilde over (C)}to b equal to arg min U_(j). The value can be recorded, stored,maintained, or the like in a retrievable format. The power controlproblem can be solved, at 806, with the assumption that all data sinksin the sub-tree were assigned the lowest throughput value (as determinedat 804).

A determination is made, at 808, whether the ROT constraint, the powerconstraint, or both are violated for any child node. If the constraintsare violated (“YES”), the minimum data sink throughput is notsustainable, and the method continues at 810, where the maxminsustainable throughput to remaining data sinks is computed so that theconstraints are met. This can involve solving the two constraintequations, discussed above, and choosing the smaller of the two values.Both constraints are non-decreasing in the user throughput (assumingthat the C/I to rate mapping is non-decreasing). Choosing the smaller ofthe solved values can help ensure feasibility. If the child node doesnot meet the peak power constraint and the parent node ROT constraint,the power for each child can be re-determined until the largestsustainable data sink throughput is determined.

If the determination, at 808, is that the constraints are not violated,or they are not violated with strict inequality (“NO”) then the minimumthroughput is assigned to all data sinks in the tree under theconstraining child node, at 812. This child node is removed fromconsideration for any further throughput assignment, at 814.

The method 800 continues, at 804, where the remaining child nodes underconsideration are analyzed to determine the child node whose data sinksneed the lowest throughput. The method 800 can continue in substantiallythe same manner until all child nodes are assigned a throughput value.

FIG. 9 is system for supporting data communications in multi-hopwireless networks from the perspective of a parent node. It should beunderstood that the systems that will be described with reference toFIGS. 9 through 12 are represented as functional blocks, which can befunctional blocks that represent functions implemented by a processor,software or combination thereof.

System 900 can be implemented in a wireless device and can include ameans for receiving 902 that can be configured to receive a desiredthroughput per data sink associated with each child node. The child nodeis communicatively coupled to a parent node. The means for receiving 902may comprise a receiver or may be implemented in a processor. Alsoincluded is a means for determining a time each child node should bescheduled 904, which may comprise a scheduler or may be implemented in aprocessor. Such a determination can be made based on the desiredthroughputs. A means for determining whether the parent node is anobstruction 906 can determine whether the parent node is an obstructionbased on the determined scheduled times. The means for determiningwhether the parent node is an obstruction 906 may comprise a scheduleror may be implemented in a processor. A means for determining athroughput 908 can also be included in system 900 and may comprise avalue adjuster or may be implemented in a processor. Means fordetermining a throughput 908 can determine a throughput for supportingeach data sink if the parent node is an obstruction. The means fordetermining a throughput 902 can determine the throughput for supportingeach data sink based on a maxmin fairness concept.

FIG. 10 illustrates a system 1000 for supporting data communication in awireless network of a plurality of nodes from the perspective of a rootnode. System 1000 can be implemented in a wireless device. Systemincludes a means for receiving 1002 that can be configured to receive,at a root node, a desired throughput per data sink associated with eachparent node. The means for receiving 1002 may comprise a receiver or maybe implemented in a processor. The parent node, root node, and data sinkare communicatively coupled. System 1000 also includes a means fordetermining a time fraction 1004, which may comprise a scheduler or maybe implemented in a processor, that can determine a time fraction eachparent node should be scheduled based on the desired throughput. A meansfor determining a scheduling policy 1006 can be configured to determinea scheduling policy based on the time fraction each parent node shouldbe scheduled. Means for determining a scheduling policy 1006 maycomprise a scheduler or may be implemented in a processor.

FIG. 11 is another embodiment of a system 1100 for supporting datacommunications in multi-hop wireless networks from the perspective of aparent node. Included in system 1100 is a means for receiving 1102 thatcan be configured to receive, at a parent node, a desired throughput perdata sink associated with each child node. Means for receiving 1102 maycomprise a receiver or may be implemented in a processor. The child nodeis communicatively coupled to the parent node. A means for determining atransmit power and/or a receive power 1104 can be configured todetermine a transmit power or a receive power associated with each childnode based on the desired throughput. Means for determining a transmitpower and/or a receive power 1104 may comprise a calculator or may beimplemented in a processor. In accordance with some embodiments, eitheror both transmit power and receive power can be determined. Alsoincluded in system 1100 is a means for determining whether the parent isan obstruction 1106 that can be configured to determine whether theparent node is an obstruction based on at least one of the determinedtransmit power and the receive power. Means for determining whether theparent is an obstruction 1106 may comprise a calculator or may beimplemented in a processor. A means for determining a throughput 1108may comprise a value adjuster or may be implemented by a processor.Means for determining a throughput 1108 can be configured to determine athroughput for supporting each data sink if the parent node is anobstruction.

FIG. 12 is another embodiment of a system 1200 for supporting datacommunication in a wireless network of a plurality of nodes from theperspective of a root node. System 1200 includes a means for receiving1202, which can comprise a receiver or can be implemented by aprocessor. Means for receiving 1202 can be configured to receive, at aroot node, a desired throughput per data sink associated with eachparent node. The parent node, root node, and data sink arecommunicatively coupled. A means for determining a transmit power and/ora receive power 1204, which may comprise a calculator or may beimplemented by a processor, can be configured to determine a transmitpower and a receive power associated with each parent node based on thedesired throughput. In accordance with some embodiments, either or bothtransmit power and receive power can be determined. Also included is ameans for determining a scheduling policy 1206 that can be configured todetermine a scheduling policy based on at least one of the determinedtransmit and receive powers. Means for determining a scheduling policy1206 may comprise a calculator or may be implemented by a processor.

With reference now to FIG. 13, illustrated is a system 1300 thatfacilitates flow-based fair scheduling in a multi-hop wirelesscommunication environment in accordance with one or more of thedisclosed embodiments. System 1300 can reside in an access point and/orin a user device. System 1300 comprises a receiver 1302 that can receivea signal from, for example, a receiver antenna. The receiver 1302 canperform typical actions thereon, such as filtering, amplifying, etc. thereceived signal. The receiver 1302 can also digitize the signal toobtain samples. A demodulator 1304 can retrieve information bits fromthe received signals and provide them to a processor 1306.

Processor 1306 can be a processor dedicated to analyzing informationreceived by receiver component 1302 and/or generating information fortransmission by a transmitter 1312. In addition or alternatively,processor 1306 can control one or more components of user device 1300,analyze information received by receiver 1302, generate information fortransmission by transmitter 1316, and/or control one or more componentsof user device 1300. Processor 1306 may include a controller componentcapable of coordinating communications with additional user devices.

User device 1300 can additionally comprise memory 1308 operativelycoupled to processor 1306 and that can store information related tocoordinating communications and any other suitable information. Memory1308 can additionally store protocols associated with coordinatingcommunication. It will be appreciated that the data store (e.g.,memories) components described herein can be either volatile memory ornonvolatile memory, or can include both volatile and nonvolatile memory.By way of illustration, and not limitation, nonvolatile memory caninclude read only memory (ROM), programmable ROM (PROM), electricallyprogrammable ROM (EPROM), electrically erasable ROM (EEPROM), or flashmemory. Volatile memory can include random access memory (RAM), whichacts as external cache memory. By way of illustration and notlimitation, RAM is available in many forms such as synchronous RAM(SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rateSDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), anddirect Rambus RAM (DRRAM). The memory 1308 of the subject systems and/ormethods is intended to comprise, without being limited to, these and anyother suitable types of memory. User device 1300 can further comprise asymbol modulator 1310 and a transmitter 1312 that transmits themodulated signal.

FIG. 14 is an illustration of a system 1400 that facilitatescoordination of flow-based fair scheduling in accordance with variousembodiments. System 1400 comprises a base station or access point 1402.As illustrated, base station 1402 receives signal(s) from one or moreuser devices 1404 by a receive antenna 1406, and transmits to the one ormore user devices 1404 through a transmit antenna 1408. However, oneantenna can be utilized to both transmit and receive the signalaccording to some embodiments.

Base station 1402 comprises a receiver 1410 that receives informationfrom receive antenna 1406 and is operatively associated with ademodulator 1412 that demodulates received information. Demodulatedsymbols are analyzed by a processor 1414 that is coupled to a memory1416 that stores information related to the number of data sinks in aparticular flow, a measured throughput rate, a computed throughput rate,and the like. A modulator 1418 can multiplex the signal for transmissionby a transmitter 1420 through transmit antenna 1408 to user device(s)1404.

FIG. 15 illustrates an exemplary wireless communication system 1500.Wireless communication system 1500 depicts one base station and oneterminal for sake of brevity. However, it is to be appreciated thatsystem 1500 can include more than one base station or access pointand/or more than one terminal or user device, wherein additional basestations and/or terminals can be substantially similar or different fromthe exemplary base station and terminal described below. In addition, itis to be appreciated that the base station and/or the terminal canemploy the systems and/or methods described herein to facilitatewireless communication there between.

Referring now to FIG. 15, on a downlink, at access point 1505, atransmit (TX) data processor 1510 receives, formats, codes, interleaves,and modulates (or symbol maps) traffic data and provides modulationsymbols (“data symbols”). A symbol modulator 1515 receives and processesthe data symbols and pilot symbols and provides a stream of symbols. Asymbol modulator 1515 multiplexes data and pilot symbols and obtains aset of N transmit symbols. Each transmit symbol may be a data symbol, apilot symbol, or a signal value of zero. The pilot symbols may be sentcontinuously in each symbol period. The pilot symbols can be frequencydivision multiplexed (FDM), orthogonal frequency division multiplexed(OFDM), time division multiplexed (TDM), frequency division multiplexed(FDM), or code division multiplexed (CDM).

A transmitter unit (TMTR) 1520 receives and converts the stream ofsymbols into one or more analog signals and further conditions (e.g.,amplifies, filters, and frequency upconverts) the analog signals togenerate a downlink signal suitable for transmission over the wirelesschannel. The downlink signal is then transmitted through an antenna 1525to the terminals. At terminal 1530, an antenna 1535 receives thedownlink signal and provides a received signal to a receiver unit (RCVR)1540. Receiver unit 1540 conditions (e.g., filters, amplifies, andfrequency downconverts) the received signal and digitizes theconditioned signal to obtain samples. A symbol demodulator 1545 obtainsN received symbols and provides received pilot symbols to a processor1550 for channel estimation. Symbol demodulator 1545 further receives afrequency response estimate for the downlink from processor 1550,performs data demodulation on the received data symbols to obtain datasymbol estimates (which are estimates of the transmitted data symbols),and provides the data symbol estimates to an RX data processor 1555,which demodulates (i.e., symbol demaps), deinterleaves, and decodes thedata symbol estimates to recover the transmitted traffic data. Theprocessing by symbol demodulator 1545 and RX data processor 1555 iscomplementary to the processing by symbol modulator 1515 and TX dataprocessor 1510, respectively, at access point 1505.

On the uplink, a TX data processor 1560 processes traffic data andprovides data symbols. A symbol modulator 1565 receives and multiplexesthe data symbols with pilot symbols, performs modulation, and provides astream of symbols. A transmitter unit 1570 then receives and processesthe stream of symbols to generate an uplink signal, which is transmittedby the antenna 1535 to the access point 1505.

At access point 1505, the uplink signal from terminal 1530 is receivedby the antenna 1525 and processed by a receiver unit 1575 to obtainsamples. A symbol demodulator 1580 then processes the samples andprovides received pilot symbols and data symbol estimates for theuplink. An RX data processor 1585 processes the data symbol estimates torecover the traffic data transmitted by terminal 1530. A processor 1590performs channel estimation for each active terminal transmitting on theuplink.

Processors 1590 and 1550 direct (e.g., control, coordinate, manage, . .. ) operation at access point 1505 and terminal 1530, respectively.Respective processors 1590 and 1550 can be associated with memory units(not shown) that store program codes and data. Processors 1590 and 1550can also perform computations to derive frequency and impulse responseestimates for the uplink and downlink, respectively.

For a multiple-access system (e.g., FDMA, OFDMA, CDMA, TDMA, and thelike.), multiple terminals can transmit concurrently on the uplink. Forsuch a system, the pilot subbands may be shared among differentterminals. The channel estimation techniques may be used in cases wherethe pilot subbands for each terminal span the entire operating band(possibly except for the band edges). Such a pilot subband structurewould be desirable to obtain frequency diversity for each terminal Thetechniques described herein may be implemented by various means. Forexample, these techniques may be implemented in hardware, software, or acombination thereof. For a hardware implementation, the processing unitsused for channel estimation may be implemented within one or moreapplication specific integrated circuits (ASICs), digital signalprocessors (DSPs), digital signal processing devices (DSPDs),programmable logic devices (PLDs), field programmable gate arrays(FPGAs), processors, controllers, micro-controllers, microprocessors,other electronic units designed to perform the functions describedherein, or a combination thereof. With software, implementation can bethrough modules (e.g., procedures, functions, and so on) that performthe functions described herein. The software codes may be stored inmemory unit and executed by the processors 1590 and 1550.

It is to be understood that the embodiments described herein may beimplemented by hardware, software, firmware, middleware, microcode, orany combination thereof. When the systems and/or methods are implementedin software, firmware, middleware or microcode, program code or codesegments, they may be stored in a machine-readable medium, such as astorage component. A code segment may represent a procedure, a function,a subprogram, a program, a routine, a subroutine, a module, a softwarepackage, a class, or any combination of instructions, data structures,or program statements. A code segment may be coupled to another codesegment or a hardware circuit by passing and/or receiving information,data, arguments, parameters, or memory contents. Information, arguments,parameters, data, etc. may be passed, forwarded, or transmitted usingany suitable means including memory sharing, message passing, tokenpassing, network transmission, etc.

For a software implementation, the techniques described herein may beimplemented with modules (e.g., procedures, functions, and so on) thatperform the functions described herein. The software codes may be storedin memory units and executed by processors. The memory unit may beimplemented within the processor or external to the processor, in whichcase it can be communicatively coupled to the processor through variousmeans as is known in the art.

What has been described above includes examples of one or moreembodiments. It is, of course, not possible to describe everyconceivable combination of components or methodologies for purposes ofdescribing the aforementioned embodiments, but one of ordinary skill inthe art may recognize that many further combinations and permutations ofvarious embodiments are possible. Accordingly, the described embodimentsare intended to embrace all such alterations, modifications andvariations that fall within the spirit and scope of the appended claimsFurthermore, to the extent that the term “includes” is used in eitherthe detailed description or the claims, such term is intended to beinclusive in a manner similar to the term “comprising” as “comprising”is interpreted when employed as a transitional word in a claim.

1. A method of supporting data communications, comprising: receiving ata parent node a desired throughput per data sink associated with eachchild node, said child node being communicatively coupled to each parentnode; determining at least one of a transmit power and a receive powerassociated with each child node based on the desired throughput;determining whether the parent node is an obstruction based on at leastone of the determined transmit power and the receive power; anddetermining a throughput for supporting each data sink if the parentnode is an obstruction.
 2. The method of claim 1, further comprisingproviding the determined throughput for supporting each data sink to aroot node.
 3. The method of claim 2, further comprising receiving ascheduling policy from the root node, the scheduling policy is based onat least one of the determined transmit power and receive power.
 4. Themethod of claim 1, further comprising determining if at least one of apeak power constraint and a rise over thermal constraint is violated,wherein the peak power constraint is associated with the transmit powerand the rise over thermal constraint is associated with a total receivepower.
 5. The method of claim 4, further comprising establishing amaxmin sustainable throughput for at least one data sink under eachchild node if at least one of the peak power constraint and rise overthermal constraint is violated.
 6. The method of claim 5, establishing amaxmin sustainable throughput comprising: solving a first constraintequation and a second constraint equation; and choosing a smaller valueof the solved equations.
 7. The method of claim 4, further comprising:establishing if there is spare capacity if neither of the constraints isviolated; and assigning the spare capacity to other child nodesassociated with the parent node.
 8. The method of claim 4, the peakpower constraint is associated with the child node and the rise overthermal constraint is associated with the parent node.
 9. The method ofclaim 1, determining at least one of transmit and receive powers anddetermining whether the parent node is an obstruction are repeated foreach ascending node until a root node is reached.
 10. An apparatus forsupporting data communication, comprising: a receiver that receives adesired throughput per data sink associated with each child node, saidchild node being communicatively coupled to a parent node; a calculatorthat determines at least one of a transmit power and a receive powerassociated with each child node based on the desired throughput anddetermines whether the parent node is an obstruction based on at leastone of the determined transmit power and the receive power; and a valueadjuster that selects a throughput for supporting each data sink if theparent node is an obstruction.
 11. The apparatus of claim 10, furthercomprising a transmitter that communicates the determined throughput forsupporting each data sink to a root node.
 12. The apparatus of claim 11,the receiver further receives a scheduling policy from the root node,the scheduling policy is based on at least one of the determinedtransmit power and receive power.
 13. The apparatus of claim 10, thecalculator further determines if at least one of a peak power constraintand a rise over thermal constraint is violated, wherein the peak powerconstraint is associated with the transmit power and the rise overthermal constraint is associated with a total receive power.
 14. Acomputer readable medium comprising instructions that upon executioncause an apparatus to: receive at a parent node a desired throughput perdata sink associated with each child node, said child node beingcommunicatively coupled to each parent node; determine at least one of atransmit power and a receive power associated with each child node basedon the desired throughput; determine whether the parent node is anobstruction based on at least one of the determined transmit power andthe receive power; and determine a throughput for supporting each datasink if the parent node is an obstruction.
 15. A processor forsupporting data communication, the processor being configured to:receive a desired throughput per data sink associated with each childnode; determine at least one of a transmit power and a receive powerassociated with each child node based on the desired throughput;determine whether a parent node is an obstruction based on at least oneof the determined transmit power and the receive power; and determine athroughput for supporting each data sink if the parent node is anobstruction.
 16. The processor of claim 15, further being configured todetermine if at least one of a peak power constraint and a rise overthermal constraint is violated, wherein the peak power constraint isassociated with the transmit power and the rise over thermal constraintis associated with a total receive power.
 17. The processor of claim 15,further being configured to communicate the determined throughput forsupporting each data sink to a root node.
 18. An apparatus forsupporting data communication comprising: means for receiving at aparent node a desired throughput per data sink associated with eachchild node, said child node being communicatively coupled to each parentnode; means for determining at least one of a transmit power and areceive power associated with each child node based on the desiredthroughput; means for determining whether the parent node is anobstruction based on at least one of the determined transmit power andthe receive power; and means for determining a throughput for supportingeach data sink if the parent node is an obstruction.
 19. The computerreadable medium of claim 14, the instructions further cause theapparatus to determine if at least one of a peak power constraint and arise over thermal constraint is violated, wherein the peak powerconstraint is associated with the transmit power and the rise overthermal constraint is associated with a total receive power.
 20. Theapparatus of claim 18 is a terminal.